imitation
Clean PyTorch implementations of imitation and reward learning algorithms (by HumanCompatibleAI)
falken
Falken provides developers with a service that allows them to train AI that can play their games (by google-research)
| imitation | falken | |
|---|---|---|
| 1 | 2 | |
| 1,151 | 253 | |
| 3.0% | 0.0% | |
| 7.5 | 0.0 | |
| 2 months ago | 13 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
imitation
Posts with mentions or reviews of imitation.
We have used some of these posts to build our list of alternatives
and similar projects.
falken
Posts with mentions or reviews of falken.
We have used some of these posts to build our list of alternatives
and similar projects.
- How long until AI can play a game like Red Dead Redemption 2?
-
Google AI Introduces A Machine Learning Based System For Game Developers To Quickly And Efficiently Train Game-Testing Agents
Google AI recently announced a machine learning-based framework that game developers could use to train game-testing agents quickly and efficiently, freeing human testers to focus on more complicated problems. The resulting system requires no machine learning (ML) expertise, works with a wide range of popular game genres, and can train an ML policy, which generates game actions from the game state on a single game instance in less than an hour. Google AI has also provided an open-source library that shows how these techniques may be used in practice.
What are some alternatives?
When comparing imitation and falken you can also consider the following projects:
neat - [ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
f-IRL - Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
IRL - Algorithms for Inverse Reinforcement Learning
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
DI-engine - OpenDILab Decision AI Engine
babyai - BabyAI platform. A testbed for training agents to understand and execute language commands.
DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.
tianshou - An elegant PyTorch deep reinforcement learning library.